# SOLUTION: University of the Cumberlands Wk 10 Data Mining & Operational Excellence Discussion

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Subject: Data Mining
Initial Post 1:
Simple Random Sampling is that every item of the sample is selected from the group that the
probability of being selected for all the items is the same. In other words, sampling units are
selected at random so that the opportunity of every sampling unit being included in the sample is
the same. It is the primary sampling; in simple random sampling, all the items that can be chosen
to have an equal probability of occurrence. The two different types of samplings, probability, and
non-probability are different in a subtle way. Simple random sampling is a type of probability
sampling in which all the items have the same probability of picking up. If there are 1000 items
and 20 needs to be chosen, all 20 have the same probability of selection; probability sampling.
This method is easy to understand but hard to execute.
It is possible to sample data instances using a distribution different from the uniform
distribution. The non-uniform distribution is a different method from a uniform distribution, and
Cluster Sampling is an example. Cluster sampling works by clustering a group of items basing on
their characteristics; then, the items are selected from the cluster. Clustering is one of the
approaches where there is nonequivalent allocation of probability. If a research group wants to
collect data of a particular number of people using a cluster sample, they will form clusters of
people with particular characteristics and select people from that cluster. Expert Judgement is
another way of sampling, in which items are sampled based on expert knowledge.
Initial Post 2:
Sampling Approaches are of several kinds, and the most popular of these is simple random
sampling. Simple Random Sampling is one of the most straightforward sample data instances for
distribution difference, along with an example of a probability distribution. In the case of data
instances, there are different ways to uniform distribution as an equal probability. In this method
of sampling, the selection of an item is an equal probability. In this type of random sampling, two
variations are – sampling without replacement and sampling with replacement. Every item is
chosen and removed from the object set considered as the population in the first type. In the second
type, objects remain in the population set. Hence, there is a crucial issue here since the same object
can be used for more than one sample. The population includes different types of objects, and
simple random sampling will show that a different type of objects where simple random sampling
is adequately for types of objects is less frequent. Hence, simple random sampling provides
adequate population sets for appropriate data set to be determined and ensuring quality data mining
(Etikan, Musa & Alkassim, 2016).
Yes, it is possible to use different distribution in sample data instances for uniform
distribution. Problems in terms of analysis are seen for proper representation in all the object types.
The building classification models for their classes should be considered critical. Using sample
design distances is possible to develop a different distribution from the uniform distribution. For
example, in excel, the sample data set can be obtained by creating 20 elements with the standard
normal distribution placing the formula in the first cell, A1. The cells’ range should be 20, that A1:
A20 for providing the distribution (Zhu et al., 2018).
Subject: Operational Excellence
Initial Post 1:
Software developments models describe the phases of the software cycle and order; it also helps
determine system requirements and the overall system architecture, this process takes care of the
developed product in the shortest possible time and reduces its business impact to the customer.
Team members are also the developers who design, program, and deploy the system (Rajkumar et
al., 2016).
The formal method describes the steps that are taken to achieve a result. System integration
results in an end product
This procedure is also known as the construction or encapsulation of the solution. The
building blocks of software technology are usually assembled or put together. It gives the company
a complete, high-quality, and safe, functional product. The “soft process” is the formal method that
builds functional software applications for integration with business applications. When a
customer delivers an integration solution to the integration laboratory, the laboratory performs a
formal process to SOURCE the requirements. In Software Verification, the software development
and integration process include more than just putting software together. The software
development process and the software integration process are the completion of the final functional
software application. This “complete” software application, the complete high-quality end-user
application, allows the application to be deployed, managed and used by a user. This “final”
software application would need to be tested for safety, performance, installation, and end-user
support to make any software specification or legal statements. The users, developers, and auditors
involved in implementing and maintaining the “final” software application would be taking the
software specification and internal testing and validation information to a new level (Yilmaz et al.,
2016).
Initial Post 2:
The Process of New Software Development: The process of software development is complex
(Clarke, O’Connor & Leavy, 2016). Any mistake in the process can cause inevitable outcomes in
the entire business or product quality. It is a lengthy process requiring step-by-step techniques.
The process of software development involves:
Planning: In this process, the specialists gather the right requirements while analyzing the
software’s aspects, even in the future. Hence, developers must understand the client’s requirements,
the exact need, and the issues during software development. Communication is critical between
the project teams, stakeholders, and users.
Software analysis: Here, the development team define the project and check its feasibility. It
divides the workflow into segments such that the developers, designers, testers, and managers can
evaluate their tasks effectively. The software is defined in terms of its reliability, time, functioning,
and cost (Al-Zewairi et al., 2017).
Software designing: The design of the software should be clear and creative. Designing involves
the overall product design along with database design and data structure.
Software programming: This stage is the most critical process of software development. Many
brains are put into work for coding to deliver the desired software.
Implementation and integration: The software contains various programs that need careful
implementation and software product integration that should be step-by-step. In this process, the
developers check whether the software runs in multiple systems. In case they find bugs, they
should fix them (Clarke, O’Connor, & Leavy, 2016).
Software testing: After coding completion, the software is tested. The quality of the software is
tested as well as its performance. If the software is error-free, it proceeds to the next process.
Installation and maintenance: This is the final process. Clients can now install the software on their
devices. In case the client needs software modification, the process of maintenance begins.
One of the main differences between software development and methodologies is the phase’s
sequence in which software development is being completed (Al-Zewairi et al., 2017). Methods
use the linear approach. Processes must be done sequentially.
Initial Post 3:
Differences between software development and methods. Software development:
Software development is a collective and iterative logical technique concerned with
creating a computer coded or programmed software to address a unique business or personal
objective, purpose, or process. It is a planned initiative that consists of more than a few steps or
ranges that result in the creation of operational software. The software program’s software
development is executed via programming and includes countless methods such as preliminary
research, data glide design, method glide design, flow charts, technical documentation, software
program testing, debugging, and other software architecture techniques. It is referred to as the
Software Development Life Cycle (SDLC).
Software Development methods:
To design software to meet the business need, the software program’s improvement to meet
the precise graph, and software deployment to production, SDLC includes some methodology. The
software development methodology is a procedure or collection of strategies used in software
program development. (Kleidermacher & Kleidermacher, 2012). In the modern-day world, quite
a few methodologies exist for developing the software; generally, it takes the structure of described
phases. It is designed to describe the show of the existence cycle of a piece of software. The
Waterfall model, Rapid Application Development model, Component-based development, The
formal strategies model, Agile model, Spiral model, and Prototype model.
The waterfall model, the unique SDLC method, is linear and sequential, commonly following these
degrees: Identify required software, analysis of the software requirements (Mayer, J. 2005),
Detailed specification of the software requirements, Software design, Programming, Testing,
Maintenance.
Numerous models are frequently mixed into some hybrid methodology, as is the case with
open-source software development (OSSD).
Initial Post 4:
The overall process of developing software is based on the requirement, then the feasibility, then
the selection of methodology to adopt for the software development, and there will be various
stages like requirement intake, development, implementation, and testing phase for the successful
delivery of the software to the client. Successful projects are managed well. To effectively deal
with a project, the manager or development team must pick the software development
methodology that will work best for the current project. All methodologies have various qualities
and shortcomings and exist for various reasons (Langer, 2018).
Agile development methodology:
Teams utilize the agile development methodology to limit risk (for example, bugs, cost
overwhelms, and evolving necessities) while including new usefulness. In every single agile
technique, teams build up the software in iterations that contain scaled-down additions of the new
usefulness. There is a wide range of types of agile development strategies, including scrum, crystal,
extreme programming (XP), and feature-driven development (FDD) (Langer, 2018). The essential
benefit of agile software development is that it permits software to be discharged in iterations.
Iterative discharges improve effectiveness by permitting teams to discover and fix defects and
adjust their desires early. They likewise permit clients to acknowledge software benefits prior,
DevOps deployment methodology:
DevOps is a development methodology and a set of practices that support a traditional
culture. DevOps deployment focuses on hierarchical change that upgrades coordinated effort
between the offices liable for various development life cycle portions, for example, development,
quality confirmation, and tasks. DevOps is centered on improving time to advertise, bringing down
the disappointment pace of new discharges, shortening the lead time among fixes, and limiting
disturbance while expanding unwavering quality. To accomplish this, DevOps associations intend
to computerize continuous deployment to guarantee everything happens quickly and dependably.
Organizations that utilize DevOps methods benefit by fundamentally diminishing time to advertise
and improve customer satisfaction, item quality, and representative profitability and efficiency
(Langer, 2018).
Initial Post 5:
Developing the new software process starts with the strategic planning and gathering of required
resources. Many software development tools are available in the modern business era that better
assist the critical requirements needed for developing new software. Before developing the new
software, it is essential to understand the right process, which suits the business. Since technologies
in recent days are drastically changing, it is essential to work on the latest business trends and
develop the software accordingly. The following are the key steps necessary while developing the
new software: (Silva & Gualotuna, 2018).

Analysis and strategic planning

Gathering of requirements

Design and prototype

Software development process

Testing the plan thoroughly

Deployment process
Maintenance and work on the updates:
While developing the new software, managers must ensure that they are going through the
right strategic planning and target the business goals. Following the best communication channels
and keep all the staff on the same page is another important strategy in the new software
development process to avoid communication breakdown issues and other concerns. Management
ensures that they provide adequate resources to develop the best software and control the
unproductive activities to minimize the expenditure (Silva & Gualotuna, 2018).
Software development is a series of activities that include creating, designing, deploying,
and supporting the software. While developing the software, it is essential to select the
methodology, which gives the perfect outcomes and utilize the resources optimally. The software
development method sets up the business’s strategies and framework and ensures that the outcomes
will be positive. To utilize all the resources optimally in the software development process is
essential to work on effective methodologies that give positive outcomes and keep control over
the unwanted cost (Wasserman, 2016).
Initial Post 6:
The System Development Life Cycle is the methodology for developing new software. This
process is very much structured and is designed on the risk-averse for managing the projects, which
include the multiple systems and programmers which impacts the organization at large; The phases
of the SDLC are:
Preliminary Analysis: This stage reviews the client’s request so that the possible solution could be
developed and checks the alternatives too. This stage examines the feasibility of the software as
per the organization or client requirement. The technical, economic, legal feasibility is checked
under this stage (Sharma & Singh, 2015).
System Analysis: In this stage, the system analysts get together with the stakeholders for
determining the particular requirements of the new software. Here, the process is documented, the
team is interviewed, and data requirements are developed to understand what the system is
expected to do.
System Design: In this stage, the designer or the developer uses the documents of the system
requirements, which were developed in the last stage, and then the technical details are developed,
which is needed for the system. Here, the requirements of the business are translated to the
technical requirements. Designing the database, user interface, reporting, input, and output of data
is done.
Programming: Here, the coding is done, as per the document of the system design the developer
creates the software.
Testing: In this phase, the software developed is tested with specific structured tests. Unit Test is
done for coding regarding the bugs and errors. Then the system is a test that tests the system
components. Then the test of user acceptance is done for ensuring the system standards.
Implementation: Once the software is tested, it is implemented in the client’s system or
organization. Here, the users are trained, documents are provided, and conversions are made on
the system as per the new software requirements (Susko & Barisic, 2020).
Maintenance: This is the final stage, where the bugs are fixed after implementation, if any.
The SDLC methodology is known as the Waterfall Methodology for representing how
every step is separated in software development.
Instructions:

Total of 8 Responses

Minimum of 200 words for each response

Minimum of 2 APA References for each response

Responses should cover:
o Provide extensive additional information on the topic
o Explain, define, or analyze the topic in detail
o Make an argument concerning the topic.

Response 1, References

Response 2, References

.

.

Response 8, References

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